Quantitative methods and socio-economic applications in GIS pdf

Fahui Wang is Cyril & Tutta Vetter Alumni Professor and former Department Chair (2014-2020) in the Department of Geography and Anthropology, Louisiana State University. He earned the B.S. in geography from Peking University, China (1988), and M.A. in economics (1993) and PhD in city and regional planning (1995) from the Ohio State University. He was a recipient of the LSU Rainmaker Award for outstanding research, scholarship and creative activity (2015) and the LSU Distinguished Faculty Award (2018). His research interests include GIS applications in human geography (urban, economic, transportation), city and regional planning, and public policy (crime and health). According to Scopus with data freeze as of May 6, 2020, he is among the top 1% most-cited researchers in Geography (precisely, 159th in 27,592) in the world.

Quantitative methods and socio-economic applications in GIS pdf by Fahui Wang

The second edition of a bestseller, Quantitative Methods and Socio-Economic Applications in GIS (previously titled Quantitative Methods and Applications in GIS) details applications of quantitative methods in social science, planning, and public policy with a focus on spatial perspectives. The book integrates GIS and quantitative (computational) methods and demonstrates them in various policy-relevant socio-economic applications with step-by-step instructions and datasets. The book demonstrates the diversity of issues where GIS can be used to enhance the studies related to socio-economic issue. Read more... Abstract: The second edition of a bestseller, Quantitative Methods and Socio-Economic Applications in GIS (previously titled Quantitative Methods and Applications in GIS) details applications of quantitative methods in social science, planning, and public policy with a focus on spatial perspectives. The book integrates GIS and quantitative (computational) methods and demonstrates them in various policy-relevant socio-economic applications with step-by-step instructions and datasets. The book demonstrates the diversity of issues where GIS can be used to enhance the studies related to socio-economic issue